Marcos ValleAI & data engineer · 6 years of experience

Build your assistant, your dashboard, your reports, your posts or your website with AI. No coding.

I'll show you, step by step, how to have AI prepare the work you repeat every week, whatever you do. AI prepares. You review and decide.

Free · One real task in 30 minutes · No purchase required

Draft replies to my customers in my tone, following my rules

Example
ClaudeAI does the prep. You review and decide.

Works with the tools you already use.

  • Claude
  • Claude Code
  • ChatGPT
  • Codex
  • Copilot
  • Gemini
  • Excel
  • Power BI
  • SQL
  • ERP
  • CRM
  • Email
  • Instagram
  • TikTok
  • Facebook

From an idea to something I can use

What you’ll learn to do

I’ll show you how to build it with your tools and review each result before using it.

Claude

My personal assistant in Claude

Example

I give it context and criteria to prepare my tasks.

Power BI

My Excel data, turned into a dashboard

Example

I explore my data in Power BI and check the figures.

Copilot

My reports and presentations

Example

I prepare a draft with Copilot and apply my judgement.

ChatGPT

My week of posts and scripts

Example

I organise ideas with ChatGPT or Gemini and add my voice.

Codex

My website with Codex

Example

I describe what I need and review the site step by step.

Claude Code

My first task with agents

Example

I connect the steps of a task and decide what to approve.

Your week, before / after

Example

Here’s a hypothetical week: times include review and are not a promise of savings.

Before · I prepare everything manually

Gather data and prepare my report3 h

Write my posts and scripts2 h

Sort emails and draft replies2 h

After · I review and decide with AI

Gather data and prepare my report1 h

Write my posts and scripts1 h

Sort emails and draft replies1 h

Hypothetical example: 7 h down to 3 h, review included

You bring the judgement; AI puts in the hours

What do you do?

What you can automate with AI in your role

Illustrative times per task, not guaranteed results. They include your review and depend on the context.

Reconciliations

Before · Compare transactions one by one

After · The agent matches data; you review discrepancies

Example · 40 min saved

Month-end close

Before · Gather and check spreadsheets

After · Checklist and draft close for validation

Example · 60 min saved

Management reports

Before · Copy figures into a report

After · A sourced draft for you to verify

Example · 35 min saved

Outstanding payments

Before · Check due dates and write emails

After · Prioritised list and reminders for approval

Example · 25 min saved
Learn to automate this →
Marcos Valle, AI and data engineer

About me

Marcos Valle

Computer engineer · AI and data analytics

I've spent 6 years in data and BI, and today I build with AI every day: Claude and Claude Code, OpenAI's Codex, other LLMs and AI agents that work as a team. What I teach here is what I use on real projects, adapted so you can apply it in your role without coding.

No hype: I'll show you what works, where it fails and when AI isn't worth it.

Start with a real task

Free kit: your first automated task in 30 minutes

  • An assistant template ready for your role
  • A checklist to review what the AI does
  • The steps to automate your first task in 30 minutes

Free, with immediate access to the kit. No purchase required.

Sent by me, Marcos Valle: AI engineer who trains company teams on Claude and AI agents.

You can use spaces or your +country code, for example +52 55 1234 5678.

The syllabus

What you’ll learn, no code needed

01 /

Context before prompts

Learn to ask for what you need, with the data and criteria that make an answer useful.

02 /

Skills and assistants for your tasks

Design assistants for your recurring weekly tasks, with clear instructions and boundaries.

03 /

Agents that work through multiple steps

Break a task into steps, define what the agent needs and when it should ask for your help.

04 /

Connected tools

Connect email, calendars, Excel, ERP, CRM and social media to your everyday tasks.

05 /

Review, control and set boundaries

Check responses, protect data and learn when not to use AI. You decide what gets approved.

06 /

Your plan to adapt to AI

Identify tasks in your role, choose where to start and evaluate what works before expanding.

Example

Illustrative preview of the course

  1. Context before prompts
  2. Skills and assistants for your tasks
  3. Review, control and set boundaries

Enrollment 20–26 November · €97

The goal: your first assistants working on your real tasks

  • Context before prompts
  • Skills and assistants for your tasks
  • Review, control and set boundaries
97 €Launch price

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Secure payment with Stripe · VAT included

Available methods are shown at checkout depending on your device and country.

20–26 November 2026 · Madrid time
  • Access after purchase, from 20 November
  • At your own pace
  • No coding knowledge needed
AI training for businesses →

Frequently asked questions

Do I need to know how to code?

No. You’ll learn to give instructions, use assistants and review their responses without coding.

Will it work for my role?

If your job has tasks that repeat, yes: finance, customer support, back office, HR, operations, sales, social media or management. You pick one task from your job and turn it into an assistant that prepares the work for you to review.

Which AI tools do I need?

The ones you already use or can use at work: Claude, ChatGPT, Microsoft Copilot or Gemini, together with Excel, email, your ERP or Power BI. Some features require paid plans from those tools.

When does the course open?

Opens on 20 November 2026 at 00:00 and closes on 26 November at 23:59, Madrid time. Launch price: €97. Then enrollment closes until the next intake, with no date announced.

Can I do this with my team?

Yes. For teams I design training by department, automation with AI agents and Power BI analytics: tell me about your case on the business page. See training for businesses →

Who is Marcos Valle?

Marcos Valle is a computer engineer, data analyst and AI engineer with 6 years of experience. He builds AI-powered ERPs, data systems and AI agents, with experience on projects for large multinationals, startups and SMEs, and teaches professionals in any role to automate their work with AI, no coding required.

What's the difference between an AI assistant and an AI agent?

An assistant answers and drafts content when you ask. An AI agent chains several steps on its own (reading an email, checking a spreadsheet, drafting the reply), uses tools within the limits you define and asks for your review before closing the task.

What is an AI skill?

A skill is a reusable package of instructions, examples and criteria that the assistant loads when a task needs it, so the AI does a task you repeat every week equally well every time.

What is MCP and what is it for?

MCP (Model Context Protocol) is an open standard for connecting AI assistants such as Claude to tools and data: email, calendar, databases or an ERP. It lets the AI work with your real information instead of hand-pasted text.

Is it safe to use AI with company data?

It depends on the tool, the plan and how it's configured. In the course you'll learn which data not to share, how to review what the AI does and when not to use it; the final decision is always yours.

What's in the free kit?

An assistant template for your role, a checklist for reviewing the AI's output and the steps to automate your first task in about 30 minutes. You can download it immediately and doesn't commit you to the course.

Start today with one real task

With the free kit you set up your first task in 30 minutes. If you want to go further, the course is open 20–26 November for €97.

Get my free kit